Energy Aware PEGASIS based Fuzzy Scheduling for Wireless Sensor Network

Abstract

A wireless sensor network is an infrastructure comprising of multiple nodes that are minimal effort, less power usage, little volume and small area transmission. However, sensor nodes are installed for analysis three information’s first is to detect particular area, second help users to display and third provide the aggregation of required data. For installation of sensor nodes specialists discover more proficient methods such that there is less dissipation in energy, by keeping in mind the goal to give more lifetime of the network. Subsequently, how to decrease nodes energy this is major issue in transmission of information. From numerous sorts of paper multi hop routing protocol and end to end nodes installation routing protocol is outstanding for power saving in nodes energy. For successful routing in wireless sensor field, there are many power based data centers. These centers are installed randomly and consume a tremendous amount of energy. Every data center is governed through direct current power supply, therefore battery source limits the system. Power efficient gathering sensor information systems (PEGASIS) hierarchical routing protocol scheduling is one resolving algorithm, which minimizes the energy consumption of battery source in wireless sensor networks (WSNs). PEGASIS follows the working principle of chaining algorithm and crisp logic algorithm. In Chaining algorithm greedy approach has been used to make a successful route between the numbers of random nodes. In crisp logic algorithm energy is utilized in two levels that are zero or peak level. Only at time of peak level route is successfully discovered and select one head node. But if there is mobility in BS then fixed chain head node utilized more energy to transmit the information. So, PEGASIS dissipates more energy. To enhance energy efficiency and system lifetime, fuzzy based PEGASIS algorithm has been presented in this dissertation. In this algorithm low energy super chain head node is selected based at route discovered on less numbers of nodes and small delay time. Chain head node delivers the information to the base station and informs about the threshold energy value to the client. For better results in PEGASIS fuzzy logic three membership functions are used: battery power, workload delayed time and workload executed nodes. It is observed that a number of packets are optimally transmitted using fuzzy based Mamdani’s rule. It is also observable that capacity is increased by 10% and network lifetime has been enhanced by implementing fuzzy based PEGASIS.